"Eye Diseases Classification Using Back Propagation with Welch Estimati" by Hanaa M. Ahmed and Shrooq R. Hameed

Article Title

Eye Diseases Classification Using Back Propagation with Welch Estimation Based-Learning Rate

Authors

Hanaa M. Ahmed, University of Technology, 52 St., Baghdad, IraqFollow
Shrooq R. Hameed, University of Technology, 52 St., Baghdad, IraqFollow

Document Type

Article

Abstract

Human eye disease classification adapted by many pieces of research in the last decade due to the importance of eye organ for humans and the evolution in classification techniques. External eye diseases classified in this paper using backpropagation with non-linear cyclic learning rate based on welch estimation as a step for improving the performance of backpropagation. As a result, Classification accuracy achieved in this paper is (93.22%).

Keywords

Eye Diseases Classification, Back Propagation, Cyclic Learning Rate, Welch based power spectral estimation.

Recommended Citation

Ahmed, Hanaa M. and Hameed, Shrooq R. (2021) "Eye Diseases Classification Using Back Propagation with Welch Estimation Based-Learning Rate," Al-Qadisiyah Journal of Pure Science: Vol. 26 : No. 1 , Article 22.
Available at: https://doi.org/10.29350/qjps.2021.26.1.1231